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For best performance, natural language processing systems must be able to extract as much information as possible from their inputs, even inputs which cannot be fully processed. In order to do this, systems must be equipped with robust processing mechanisms. In addition, cases also occur in which the system has the abi... | 0 |
In this paper we demonstrate how to extend a search paradigm we call "extractive search" with neural similarity techniques.The increasing availability of large datasets calls for search tools which support different types of information needs. Search engines like Google Search or Microsoft Bing are optimized for surfac... | 0 |
Criticisms of the application of computational tools toward language learning have often highlighted the reality that the mainstays of modern language teaching-including dialogue and a focus on communicative goals over syntactic perfectionismparallel the shortcomings of computational environment. While efforts continue... | 0 |
Prosodic morphology (PM) circumscribes a number of phenomena ranging from 'nonconatenative' rootand-pattern morphology over infixation to various cases of reduplication, where the phonology strongly influences the shape of words by way of obedience to structural constraints defining wellformed morae, syllables, feet et... | 0 |
Advances in modeling have brought unprecedented performance on many NLP tasks (e.g. , but many questions remain about the behavior of these models under domain shift (Blitzer and Pereira, 2007) and adversarial settings (Jia and Liang, 2017) , and for their tendencies to behave according to social biases (Bolukbasi et a... | 0 |
Over the past decade, researchers at IBM have developed a series of increasingly sophisticated statistical models for machine translation (Brown et al., 1988; Brown et al., 1990; Brown et al., 1993a) . However, the IBM models, which attempt to capture a broad range of translation phenomena, are computationally expensiv... | 0 |
Semantic role labeling (SRL), as an NLP task based on annotated corpus, was first addressed by Gildea e Jurafsky (2002) , employing Framenet corpus (Baker et al. 1998) . Since then several projects dealt with SRL (Gildea & Palmer, 2002 , Surdeanu et. al, 2003 , Gildea & Hockenmaier, 2003 , Yi, Loper and Palmer, 2007 .T... | 0 |
In recent years large amounts of electronic texts have become available providing a new base for empirical studies in linguistics and offering a chance to linguists to compare their theories with large amounts of utterances from "the real world". While tagging with morphosyntactic categories has become a standard for a... | 0 |
We present the first known results of robustly improving the adequacy of statistical machine translation (SMT) for informal genres by tuning against the semantic frame based objective function MEANT. Using both spoken language and web forum datasets, we show that tuning against MEANT outperforms two SMT baselines that ... | 0 |
Knowledge graph embeddings (KGE) are increasingly deployed in domains with high stake decision making like healthcare and finance (Noy et al., 2019) , where it is critical to identify the potential security vulnerabilities that might cause failure. But the research on adversarial vulnerabilities of KGE models has recei... | 0 |
The work reported on here is part of a project 1 aimed at annotating the CORIS/CODIS 100million-words synchronic corpus of contemporary Italian with linguistic information: first part-of-speech tagging for the complete corpus, and in a later stage syntactic analysis for a subcorpus.We have been investigating existing I... | 0 |
Quotations are a crucial part of news stories, giving the perspectives of the participants in the narrated event, and making the news sound objective. The ability of extracting and organizing these quotations is highly relevant for text mining applications, as it may aid journalists in fact-checking, help users browse ... | 0 |
Redundancy is a strikingly common phenomenon that is observed across many natural systems. This redundancy is present mainly to reduce the risk of the complete loss of information that might occur due to accidental errors (Krakauer and Plotkin, 2002) . Moreover, redundancy is found in every level of granularity of a sy... | 0 |
State-of-the-art Phrase-Based Statistical Machine Translation (PBSMT) systems can use a large number of feature functions decomposable into local scores to efficiently evaluate the partial hypotheses built during decoding. However, some feature functions are difficult to integrate into the decoder mainly because they a... | 0 |
Economists and sociologists draw on historical data to study long term trends. Information from archival records is used, for example to assess intergenerational mobility (Knigge, 2016) . Overall, relative to contemporary data, historical quantitative data are hard to come by, and seldom the result of a research orient... | 0 |
Opinion mining, also known as sentiment analysis (Pang and Lee, 2008) , is a relatively recent area of research in natural language processing. It has grown very quickly as a research area, developing around a small number of basic approaches. However, these approaches are based on particular definitions of opinion, as... | 0 |
Over the last decade, transition-based dependency parsers have received much attention, to a large extent due to Nivre (2003) , Nivre and Scholz (2004) , and following publications. The theory represented in these publications seems to differ significantly from traditional automata theory, on which the theory of consti... | 0 |
The commitment of the University of Edinburgh to the WMT shared tasks is to provide a strong statistical machine translation baseline with our open source tools for all language pairs. We are again the only institution that participated in all tracks.The shared task is also an opportunity to incorporate novel contribut... | 0 |
Representing language in context is key to improving natural language processing (NLP). There are a variety of useful contexts, including word history, related documents, author/speaker information, social context, knowledge graphs, visual or situational grounding, etc. This paper addresses the problem of modeling the ... | 0 |
Text style transfer is, broadly put, the task converting a text of one style into another while preserving its content. In its recent tradition within Natural Language Generation (NLG), two tasks and their corresponding datasets have been commonly used Yi et al., 2020; . One dataset was specifically created for formali... | 0 |
Unification lbrmMisms ma.y be either untyped (DCC~s, PATR-II, 1,F(;) or typed (npsG). A m~L,ior reason for adding types to ~ forma,lism is to express restrictions on fea.ture cooccurences a.s in (;l's(:: [5] in order to rule out nonexista.nt tyl)es of objects.For example, there a.re no verbs which have the [km.ture +R.... | 0 |
The Prague Dependency Treebank 3.0 (Bejček et al., 2013) is the newest version of the Prague Dependency Treebank series, succeeding versions 1.0 (PDT 1.0; Hajič et al., 2001 ), 2.0 (PDT 2.0; Hajič et al., 2006) , 2.5 (PDT 2.5; Bejček et al., 2012) and Prague Discourse Treebank 1.0 (PDiT 1.0; Poláková et al., 2012 Polák... | 0 |
Les grammaires locales (Silberztein, 1993) sont des ressources indispensables aux systèmes de recherche d'information fondés sur une approche symbolique. Elles permettent de formaliser un phénomène linguistique et de le détecter dans les textes. Leur principal avantage est la possibilité de révision : elles sont lisibl... | 0 |
State-of-the-art distributional models of semantics, also termed vector-space models or word embeddings, derive word-representations in an unsupervised fashion from large corpora. They are primarily based on observed co-occurrence patterns, but are typically subsequently reduced in dimensionality using techniques such ... | 0 |
The CoNLL-2010 shared task 1 comprises two sub-tasks. Task 1 is described as learning to detect sentences containing uncertainty, while the object of Task 2 is learning to resolve the in-sentence scope of hedge cues (Farkas et al., 2010) . Paralleling this two-fold task definition, the architecture of our system natura... | 0 |
Nowadays, modern technologies allow us to collect customer reviews and opinions in a way that changed the sheer amount of information available to us. For that matter the requirement to extract useful knowledge from this data rose up to a point where machine learning algorithms can help to accomplish this much faster a... | 0 |
Code-Switching (CS) or switch between two or more languages in the context of a single conversation is a wellstudied phenomenon in multilingual communities. The rise in social-media and other forms of Computer Mediated Communication (CMC) has seen CS, earlier associated more with spoken language, being used in the writ... | 0 |
The problem addressed in this paper ~s to construct ,~ gr;unmatical device for lumdling cooL dination in natural language that is well founded in lingui.~tic theory and yet computationally attractive. 'the linguistic theory, should be powerful enough to describe ,~ll of the l)henomenon in coordi:tation, hut also constr... | 0 |
Errors such as incorrect spelling, word choice, or grammar, limit the effectiveness of NLP models: language errors are problematic when provided as input to NLP systems, which are often not robust enough to handle unexpected variations. The difficulty of spelling errors are language-dependent: the more complex the orth... | 0 |
Higher-order dependency features encode more complex sub-parts of a dependency tree structure than first-order, bigram head-modifier relationships. 1 The clear trend in dependency parsing has been that the addition of such higher-order features improves parse accuracy (McDonald & Pereira, 2006; Carreras, 2007; Koo & Co... | 0 |
The automatic detection of semantic information in English texts is a very difficult task, as English is highly ambiguous. However, there are many applications which can greatly benefit from in depth semantic analysis of text. Question Answering is one of them.An important semantic relation for many applications is the... | 0 |
Les lexiques sont des ressources indispensables aux systèmes de recherche d'information. Ils permettent d'améliorer notablement les résultats des procédés automatiques d'analyse linguistique -étiquetage morpho-syntaxique, interprétation sémantique ou indexation -dans des domaines particuliers. Or la constitution de lex... | 0 |
A study by Gabielkov et al. (2016) has revealed that 60% of people on social media share the news after reading just the title, without reading the actual content of the news. Unfortunately, the rise of social media has further accelerated the communication and propagation of unverified information. To solve the proble... | 0 |
In a recent MT Summit paper (Andrä and Schütz, 2009) , we have introduced our vision of a future GILT 1 marketplace which resembles very much the concept of a natural life ecosystem as a kind of true "semantic network" that is designed to provide and capture data, information, structures and various relationships in se... | 0 |
Automatic human-computer dialogue / conversation is a core topic in natural language processing. There is a boom in research on open-domain chit-chat dialogue systems due to the availability of vast conversational data online. Most existing models of dialogue systems can be divided into retrieval-based models and gener... | 0 |
In order to develop a means for terminological knowledge base, TBK (Condamines, 2018) , the construction of the corpus represents the first phase, this is followed by the extraction of candidate terms and then by the construction of a relational system (Barrière, 2006) . For what concerns the systems on how to extract ... | 0 |
Conditioning on wider syntactic contexts than simply individual head-modifier relationships improves parsing accuracy in a wide variety of parsers and frameworks (Charniak and Johnson, 2005; McDonald and Pereira, 2006; Hall, 2007; Carreras, 2007; Martins et al., 2009; Zhang and Nivre, 2011; Bohnet and Kuhn, 2012; Marti... | 0 |
Semi-supervised part-of-speech (POS) tagging is relatively rare, and the main reason seems to be that results have mostly been negative. Merialdo (1994) , in a now famous negative result, attempted to improve HMM POS tagging by expectation maximization with unlabeled data. Clark et al. (2003) reported positive results ... | 0 |
This paper describes the neural machine translation (NMT) systems and their combination built for a participation of the National Institute of Information and Communications Technology (NICT) in the WMT20 shared News Translation Task. 1 We participated in three translation directions: Japanese→English (Ja→En), English→... | 0 |
A Math Word Problem (MWP) is described as a natural language narrative with a math question. The MWP solver is required to generate a solution equation, which can be calculated to get the numerical answer, by understanding the contextual problem description.In teaching, students are encouraged to recognize that mathema... | 0 |
Cross-lingual transfer, which transfers models across languages, has tremendous practical value. It reduces the requirement of annotated data for a target language and is especially useful when the target language is lack of resources. Recently, this technique has been applied to many NLP tasks such as text categorizat... | 0 |
Current influential technological megatrends, such as, smart phones and social networking often come with some unwanted side effects -prolific spread of false, biased and misleading information, for instance. In the past few years, the potential threats and consequences of disseminating fake news has reinforced the dis... | 0 |
Increasingly, short passages or web pages are being translated by desktop machine translation software or are submitted to machine translation services on the Web every day. These texts usually contain some proportion of proper names (e.g., place and people names in "The cities of Mesopotamia prospered under Parthian a... | 0 |
The Internet has brought about vertiginous changes in the current social structures and has generated profound transformations in almost all social spheres. Nowadays, the Internet is an indispensable tool for working, interacting with public institutions, and having fun, and it is undoubtedly an instrument that can fos... | 0 |
Devant la masse considérable de donnés disponibles, la difficulté d'extraire et de rechercher l'information à partir des textes devient de plus en plus importante et demande un effort de structuration et d'ordonnancement des données. Les ressources terminologiques répondent partiellement à ce besoin en proposant les te... | 0 |
Current work in machine translation (MT) evaluation research falls into three different categories: automatic evaluation, human evaluation, and embedded application evaluation. Much effort has focused on the first category, i.e. on designing evaluation metrics that can be computed automatically for the purpose of syste... | 0 |
Co-occurrence based word association measures like PMI, LLR, and Dice are popular since they are easy to understand and computationally efficient. They measure the strength of association between two words by comparing the word pair's corpus-level bigram frequency to some function of the unigram frequencies of the indi... | 0 |
Depression is a common mental illness that involves sadness and lack of interest in all day-to-day activities 2 . Detecting depression is essential as it has to be observed and treated at an early stage to avoid severe consequences (Evans-Lacko et al., 2018; Losada et al., 2017) . Depression implies mental disorder whi... | 0 |
For the featured translation task of the Sixth Workshop on Statistical Machine Translation, we developed a system for translating Haitian Creole Emergency SMS messages. Given the nature of the task, translating text messages that were sent during the January 2010 earthquake in Haiti to an emergency response service cal... | 0 |
Standard automatic speech recognizers output unstructured streams of words. They neither perform a proper segmentation of the output into sentences, nor predict punctuation symbols. The unavailable punctuations and sentence boundaries in transcribed speech texts create barriers to many subsequent processing tasks, such... | 0 |
Much progress has been made since the seminal paper by Baker (1993) introduced the notion of translation universals and suggesting "to capture" the differences between original and translated language using comparable electronic corpora. Corpora of translated texts have been widely studied since then and research by Ol... | 0 |
Funding for this research came from the developers 1, of The Rosetta Stone TM (TRS), a highly successful interactive multimedia program for teaching foreign languages. The developers wanted to use speech recognition technology to help students of foreign languages improve their pronunciation and their active vocabulary... | 0 |
Creating a collection of high quality data is resource-demanding regardless of the area of research and type of the data. This fact has encouraged a formulation of an alternative way of data collection, "Games With a Purpose" methodology (GWAP), (van Ahn and Dabbish, 2008) . The GWAP methodology exploits the capacity o... | 0 |
One of the fundamental characteristics of language, viewed as a stochastic process, is that it is highly nonstationary. Throughout a written document and during the course of spoken conversation, the topic evolves, effecting local statistics on word occurrences. The standard trigram model disregards this nonstationarit... | 0 |
Morphological segmentation is the process of converting the surface form of a given word to the lexical form with additional grammatical information such as part of speech, gender, and number. The lexical form (or lemma) is the entries found in a dictionary or a lexicon. The conversion may involve stripping some prefix... | 0 |
Question Generation (QG) is the task of automatically creating questions from a range of inputs, such as natural language text (Heilman and Smith, 2010) , knowledge base (Serban et al., 2016) and * These two authors contributed equally.Sentence: The daily mean temperature in January, the area's coldest month, is 32.6 •... | 0 |
Text classifiers have become ubiquitous. Unfortunately, they are subject to attacks from adversaries, typically executed using machine learning methods. Attackers work by making small modifications to the text that mislead the classifier. Adversarial attackers are now a growing part of the ecosystem.Like classifiers, a... | 0 |
Networked computers can be used to support learning in various ways. In computational linguistics, the predominant pattern of use is twofold: Learning materials are distributed using hypertext, and laboratories are conducted in which students work directly with computational linguistics processors such as parsers and g... | 0 |
Terminological work is mostly based on corpus analysis because it is in texts where experts express knowledge and make it accessible (Bourigault and Slodzian 1999) . The most basic way of using a corpus is by manually reading concordance lines containing a given term. However, this is timeconsuming and inefficient, whi... | 0 |
Pretrained language models (Liu et al., 2019; Wolf et al., 2020) require substantial quantities of labeled data to learn downstream tasks. For domains that are novel or where labeled data is in short supply, supervised learning methods may not be suitable (Zhang et al., 2020; Madasu and Rao, 2020; Rietzler et al., 2020... | 0 |
Emotions are a complex phenomenon that play a central role in our experiences and daily communications. Understanding them cannot be accounted by any single area of study since they can be represented and expressed in different ways, e.g., via facial expressions, voice, language, or gestures. In natural language proces... | 0 |
As part of the 2021 Conference on Machine Translation (wmt, 2021) news-translation shared task, the AFRL human language technology team participated in the Russian-English portion of the competition. We experiment with OpenNMT-tf 1 (Klein et al., 2018) and Marian 2 (Junczys-Dowmunt et al., 2018) transformer (Vaswani et... | 0 |
Tasks in natural language semantics are becoming more fine-grained, like Textual Entailment (Dagan et al., 2013) , Semantic Parsing (Kwiatkowski et al., 2013; Berant et al., 2013) , or fine-grained opinion analysis. With the more complex tasks, there has been a renewed interest in phenomena like negation (Choi and Card... | 0 |
Two aspects of prosody-pragmatics interface in Korean, intonation vs. speech act and stress vs. topic-focus articulation (TFA) are presented in descriptive terms: first, four types of terminal contours (fall, mid, rise, and high rise) are set up and mapped to the speech-act types of asserting, asking, requesting, etc. ... | 0 |
Persona is crucial for open-domain dialogue systems to establish long-term intimacy with users . Existing persona dialogue datasets such as PersonaChat (Zhang et al., 2018; Dinan et al., 2019) and models (Li et al., 2016a; Zhang et al., 2017; Qian et al., 2018) have greatly facilitated the chatbot with configurable and... | 0 |
Our fundamental premise is that progress in Q/A cannot be achieved only by enhancing the processing components, but it also requires generating the best strategies for processing each individual question. Thus we believe that Q/A systems capable of successfully processing complex questions should employ multiple strate... | 0 |
Arabic is one of the fastest growing languages on the internet. The number of internet users in the Arab region grew by 2500% over the past 10 years. As of January 2012, the number of Arabicspeaking internet users was 86 millions. The recent political and civic movements in the Arab World resulted in a revolutionary gr... | 0 |
Recently, self-attention network (SAN) (Lin et al., 2017) has been applied to various natural language processing tasks. Instead of drawing distanceaware dependencies like recurrent neural network (Hochreiter and Schmidhuber, 1997) and convolutional neural network (Kim, 2014) , SAN captures short-and long-range relatio... | 0 |
In the last few years, Social Media has evolved very fast, becoming at the moment a very important part of our daily life. There are several social networking platforms such as Twitter, Facebook, Instagram, WhatsApp, which were created in order to allow us to communicate with each other, to share our feelings or opinio... | 0 |
Morphological analysis occupies a tenuous position statistical machine translation systems. Conventional translation models are constructed with no consideration of the relationships between lexical items and instead treat different inflected (observed) forms of identical underlying lemmas as completely independent of ... | 0 |
Entity Linking is the task of linking mentions in text to entities in a knowledge-base (KB) like Wikipedia and assign it an unambiguous entity (sense) identifier. This task is challenging and comprises of two main steps: i) identifying phrases to annotate and ii) finding and linking the right entity in the KB, consider... | 0 |
Many tasks in natural language processing involve hierarchical classification, e.g., fine-grained morphological and part-of-speech tags form a hierarchy (Mueller et al., 2013) as do many large topic sets (Lewis et al., 2004) . The task definition can either specify that a single path is correct, corresponding to a sing... | 0 |
The Universal Dependencies (UD) project (McDonald et al., 2013) has defined a consistent, crosslinguistic target and syntactic structure representation format. In this presentation, we will show the work of the UD Japanese team. The UD Japanese team was organised by interested people who are developing their own treeba... | 0 |
Despite impressive recent advances of AI in specific, narrow tasks, such as object recognition, natural language parsing and machine translation, game playing, etc., there is still a shortage of multimodal interactive systems capable of performing highlevel tasks requiring understanding and reasoning. The blocks world ... | 0 |
A user-adaptive spoken dialogue system in a technical support domain should be able to generate instructions that are appropriate to the user's level of domain expertise (using appropriate referring expressions for domain entities, generating instructions with appropriate complexity, etc.). The domain knowledge of user... | 0 |
Prediction of speaker commitment 1 is the task of determining to what extent the speaker is committed to an event in a sentence as actual, nonactual, or uncertain. This matters for downstream NLP applications, such as information extraction or question answering: for instance, we should extract from example (1) in Tabl... | 0 |
Assamese (also called as Axomiya) is the predominant language of the Indian state of Assam. It is one of the 23 official languages (22 Indian languages and additional language English) recognized by the Republic of India 1 . It is the most widely used language of the entire north-eastern region (also known as the seven... | 0 |
Using pre-trained transformer-based Language Models (LMs; Vaswani et al., 2017; Radford et al., 2019; Lewis et al., 2020; Brown et al., 2020) has recently Figure 1 : Left: a model f with parameters θ prefers a prediction y for input x (e.g., y is the mode/argmax of a discrete distribution parameterized by f (x; θ)). Ri... | 0 |
The task of information extraction (IE) involves automatic extraction of typed entities and relations from unstructured text. IE systems (Cowie and Lehnert, 1996; Sarawagi, 2008) are trained to extract facts that are stated explicitly in text. However, some facts are implicit, and human readers naturally "read between ... | 0 |
Lexical entailment (LE; hyponymy-hypernymy or is-a relation) is a core asymmetric lexico-semantic relation (Collins and Quillian, 1972; Beckwith et al., 1991) and a crucial building block of lexico-semantic networks and knowledge bases such as WordNet (Fellbaum, 1998) , BabelNet (Navigli and Ponzetto, 2012) or ConceptN... | 0 |
In the era of social media and communications, it is easier than ever to freely express opinions on a plethora of topics. This openness creates a proliferation of useful information for productivity and making the right decisions. However, it also brings up opportunities for harsh discussions that can easily reach unci... | 0 |
Notre étude porte sur un mode particulier d'expression des jugements d'évaluation dans la langue française. Son originalité réside dans l'association des travaux sur le détachement et l'apposition en linguistique du discours avec des recherches en TAL (Traitement Automatique des Langues) sur la fouille d'opinions. Dans... | 0 |
Much of the formai modeling of natural language acquisition has been within the classic paradigm of ~identification in the limit from positive examples" proposed by Gold [7] . A relatively restricted class of formal languages has been shown to be unleaxnable in this sense, and the problem of learning formal grammars ha... | 0 |
As electronic communications are now increasing, the term Natural Language Processing should be considered in the broader aspect of Multi-Language Processing system. An important phase in the system development process is requirement engineering, which can define as the process of analyzing the problems in a certain la... | 0 |
ASR systems are widely deployed in many products to support a variety of business applications, such as customer support, virtual assistants, and conversational systems. The context for this research is to build commercial products that perform realtime transcription of English business telephone calls, with additional... | 0 |
In natural language there always exist many preferred relationships between words. Lexicographers always use the concepts of collocation, co-occurrence and lexis to describe them. Psychologists also have a similar concept: word association. Two highly associated word pairs are "not only/but also" and "doctor/nurse". Ps... | 0 |
Base noun phrases (baseNPs), broadly "the initial portions of non-recursive noun phrases up to the head" (Ramshaw and Marcus, 1995) , are valuable pieces of linguistic structure which minimally extend beyond the scope of named entities. In this paper, we explore the integration of different techniques for detecting bas... | 0 |
Automatic solvers of CPs require accurate list of answer candidates to find good solutions in little time. Candidates can be retrieved from the DBs of previously solved CPs (CPDBs) since clues are often reused, and thus querying CPDBs with the target clue allows us to recuperate the same (or similar) clues.In this pape... | 0 |
Machine learning, especially supervised learning, has achieved great success in many natural language tasks, such as part-of-speech (POS) tagging, named entity recognition (NER), and parsing. This approach automatically encodes linguistic knowledge as statistical parameters (models) from large annotated corpora. In the... | 0 |
Humans naturally paraphrase. These paraphrases are often a byproduct: when we can't recall the exact words, we can often generate approximately the same meaning with a different surface realization. Recognizing and generating paraphrases are key challenges in many tasks, including translation, information retrieval, qu... | 0 |
Being able to structure natural spoken discourse into sentence-like units (SLUs) is desirable not only from a theoretical point of view, but is also a key requirement for enabling research in corpus linguistics as well as the application of Natural Language Processing tools (e.g. PoStaggers, syntactic parsers) to trans... | 0 |
Both sentiment analysis (opinion recognition) and summarization have been well studied in recent years in the natural language processing (NLP) community. Most of the previous work on sentiment analysis has been conducted on reviews. Summarization has been applied to different genres, such as news articles, scientific ... | 0 |
Open domain Question Answering (QA) is the task of finding answers to questions posed in natural language. Historically, this required a specialized pipeline consisting of multiple machinelearned and hand-crafted modules (Ferrucci et al., 2010) . Recently, the paradigm has shifted towards training end-to-end deep neura... | 0 |
The annotation scheme (AC97) developed by the Discourse Research Initiative's Backward-and Forward-Looking Group (henceforth referred to as the BF scheme) provides a set of tags that can be applied to individual utterances in a dialogue, describing the utterance's illocutionary force. The BF scheme provides a standard ... | 0 |
DOMAIN-SPECIFIC TERMS are linguistic expressions which characterize a domain, and the automatic recognition of terms is an important basis for further NLP tasks, such as thesaurus creation, automatic translation, and, more generally, for domain knowledge acquisition and for improving the comprehension of a domain. Auto... | 0 |
A large number of texts are difficult to understand for many people, e.g., people with low literacy skills, non-native speakers, or people with cognitive disabilities (Alva-Manchego et al., 2020b) . Text simplification (TS) aims to make complex texts more accessible by editing their wording and syntax, while preserving... | 0 |
An empirical method for estimating term weights directly from relevance judgements is proposed. The method is designed to make as few assumptions as possible. It is similar to Berkeley's use of regression (Cooper et al., 1994) (Chen et al., 1999) where labeled relevance judgements are fit as a linear combination of (tr... | 0 |
In the days when public libraries were the center of information exchange, the job of the librarian was to serve as an interface between the complex library system and the average user. The librarian made it possible for one to access specific sources of information without memorizing the Dewey Decimal System or flippi... | 0 |
This paper presents a scheme to extend known recognition algorithms for Context-Free Grammars (CFG) in order to obtain recognition algorithms for a class of grammatical formalisms that generate a strict superset of the set of languages generated by CFG. In particular, we use this scheme to give recognition algorithms f... | 0 |
Neural Architecture Search (NAS) has advanced state-of-the-art on various tasks, such as image classification Pham et al., 2018; Real et al., 2019; Tan et al., 2019) , machine translation (Fan et al., 2020; So et al., 2019) , and language modeling (Pham et al., 2018; Liu et al., 2019; . Despite the remarkable results, ... | 0 |
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